IDENTIFICATION OF PATIENTS UNDERGOING TREATMENT OF LUNG CANCER IN THE BRAZILIAN NATIONAL HEALTH SYSTEM (SUS)

Author(s)

Ribeiro A, Vaz P, de Paula E, Cavalca RF, Lemos T, Sonoda R
Heads in Health, São Paulo, Brazil

OBJECTIVES: Lung cancer was the most common cause of death from cancer in both men and women in the Developed World, and before long, will reach that level in the Developing World as well. The disease has no particular symptoms or signs for its detection at an early stage. It was estimated for Brazil in 2018-2019 the occurrence of 600 thousand new cases of cancer, for each year. Chemotherapy (QT) offers modest survival improvement for patients with non-small cell lung cancer, the modern agents being better tolerated resulting in an improved quality of life. Use real-world data to identify patients and lung cancer types under QT treatment in the SUS.

METHODS: A retrospective patient-centered analysis was performed with data from the Department of Information Technology of Brazilian Public Health System (Datasus) in the 2015, 2016, 2017 and 2018 search by CID-10 and Procedure.

RESULTS: The Procedures described for treatment of Lung Cancer in the Data SUS are: QT for Advanced non-small cell lung cancer (QT1), QT for Advanced small cell lung cancer (QT2), prior small cell lung cancer (QT3), Adjuvant Non-Small cell lung cancer (QT4), prior undifferentiated small cell lung cancer (QT5), Adjuvant Small cell lung cancer (QT6). QT1 are involved 60% of the Procedures, (QT1, QT2 and QT3) 34% and (QT4 and QT5) 6% in 2015, QT1 58%, (QT1, QT2 and QT3) 32% and (QT4 and QT5) 10% in 2016, QT1 63%, (QT1, QT2 and QT3) 32% and (QT4 and QT5) 5% in 2017 and QT1 66%, (QT1, QT2 and QT3) 31% and (QT4 and QT5) 3% in 2018.

CONCLUSIONS: This methodology allows identifying the main types of lung cancer in treatment at the SUS, opening possibility for access strategies based mainly on the new treatments that involves greater survival and quality for the patients.

Conference/Value in Health Info

2019-09, ISPOR Latin America 2019, Bogota, Colombia

Value in Health Regional, Volume 20S (October 2019)

Code

PCN66

Topic

Methodological & Statistical Research, Real World Data & Information Systems

Topic Subcategory

Distributed Data & Research Networks, Health & Insurance Records Systems, Modeling and simulation, Reproducibility & Replicability

Disease

Drugs, Oncology

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